Google is an Innovation Amateur
First, let me say I love Google. I was an early Google adopter and still recommend Google products. Analytics is so good that I dumped the custom tools I spent 2 years developing and now just use Google Analytics. And when Google Video was starting out I worked with them publishing videos and making suggestions to improve their tools.
I believe Google is currently the most innovative company in the world. And that is terribly sad.
Marissa Mayer at Business Week praises, “Google’s Idea Factory”. I like the insight offered af Innosight.com. Google’s Culture of Innovation as being their key to success. I was struck by “eight brainstorming sessions each year with 100 engineers” being called rigor and discipline.
When you think of a factory do you picture creative brainstorming? Or do you picture a highly organized system with clock like precision? Which do you think is more likely to deliver consistent high quality results? The random willy-nilly brainstorming approach or a well planned mapped out highly efficient system?
Even though Google has a system for soliciting and selecting good ideas it’s not much more than a suggestion box with a bunch of smart people stuffing notes in it. Sure Google increases their chances of finding a gem by casting a wide net for ideas by allowing engineers 1 day a week to work on new ideas but that still is hardly organized. This is the innovation equivalent of playing the lottery. So far Google has gotten lucky by snagging the low hanging fruit that others were just too lazy to reach.
Do you really think throwing more people and money at the problem is the best you can do? I certainly don’t.
If the folks at Google, or you, want to have a real Idea Factory you need to quickly
- Identify all possible innovations
- Organize each innovation by value
- Predict future innovations
- Follow an accurate map grabbing each innovation in order
I can hear frustrated engineers, product managers, and marketers all over the world screaming “Sure, but that’s impossible”. And they used to say the same thing about human flight, running the 4-minute mile and going to the moon.Just like it’s possible to fly or go to the moon and run a 4-minute mile, all you need is the right system and to believe it’s possible. And spreading the news about the system that makes it possible is why I write this blog.
I’ve worked with some innovation heavy hitters such as Apple, Microsoft, Hewlett Packard and Nintendo. I’ve also tried and failed to move some giants like GM out of the noose they put their own neck into. But until a few years ago I never knew the real system for innovation. Now that I do, I want everyone to benefit.
I would love to just spell all the entire OutCompete System here and now, but as can imagine, such a powerful system requires more than a few paragraphs to describe. Keep reading my blog and I’ll explain it in more detail. For now, I’ll give you a quick overview.
By using recently discovered laws of information and systems theory we can describe all possible ways of achieving a goal. Read my article “How to Predict Future Innovation” to learn the first step. As it turns out there always at least 15 solutions for any goal and on average there are 50,625 possible solutions.
If you’re not heavy into math just hold on, for a bit while I explain something to the propeller heads.
All systems can be described with approximately 7 conditions. If it takes more than 7 you’re probably describing a system made of sub systems. Furthermore, any of those conditions fits one of 15 categories. OK, fellow geeks, 15 to the power of 7 is 170,859,375. That is a whole bunch of possible innovations. But if we consider most systems only have 4 conditions that is 15^4 = 50,625.
So the OutCompete System identifies those 50,625 possible innovations. That still is a very large number but look at how we found that number. It’s totally organized by 4 condition and 15 alternatives. Now you have an organized list you can run through. No hunt and peck guessing. It’s totally predictable.
OutCompete doesn’t stop with providing a list of innovations it ranks them and literally gives you a map of step for each innovation in order of benefit to you.
Action Items
- List the innovation techniques you use.
- Count the number of innovations you generate per “brain storming session”.
- Think of at least one innovation your competitor could crush you with.
- Calculate the benefit of 15 immediately possible innovations.
Disruptive Innovation, Not Here
Innovation is the big buzz word these days. Christensen’s “Disruptive Innovation” books popularized systematic innovation. Growing up in the middle of the personal computer revolution I’ve experienced first hand repeated massively disruptive innovation.Perhaps because so much innovation has occurred in the high technology industry, people associate innovation with technology. My own experience has shown me that the mental technologies, the thoughts and ideas, concepts and procedures, values and perceptions have the most potential for disruptive innovation.
Let’s look at an example. My first paid programming job was creating software to apply statistical quality control. Our software was the first time a US automotive manufacturer used statistical process control. Our software was good; it saved work and provided answers that weren’t possible doing things by hand. But they weren’t doing it by hand. They weren’t doing it at all. The big impact wasn’t the technology being used; it was that they were using it. This was the first time the US auto industry consistently measured quality and applied the results toward improving.
Today it might seem obvious to measure quality. We constantly hear about quality surveys, crash tests and measurements of all kinds and all sorts. But in the early 1980’s that was basically unheard of. Only lab coat scientists took samples and used statistical models.
Affordable computers and the software I and others created made it possible to measure like never before but the biggest step was in seeing the value and doing it. As obvious as it seems today the US auto industry simply saw no value in measuring quality. But in the 1980’s the Japanese were starting to take over and it was all because of statistical process control.
The statistical process control movement was started by Deming. Oddly enough he had gone to the US Auto Makers first. He showed them this great new technique.
Deming showed that if you measure every part you make you can learn how your process works. Once you understand your process you can predict quality problems before they happen, thus avoiding the problem and produce higher quality more reliably and efficiently. For example if you’re drilling holes your drill bit wears down. After a while it stops making the holes to the proper size and shape. But if you know how long it takes for the bit to wear out you can replace it before it starts making bad parts. So you always make good parts. There is a lot more to it than that but that is the basic concept.
When the US auto makers heard Deming’s technique they rejected it outright. They said, “Measuring everything will cost too much. Your idea sounds great but we don’t need it. We don”t have a problem with quality. We could slap chrome on a turd and customers would buy it.” The truth was they had huge problems with quality but they weren’t yet feeling the effects. Maybe in the 1950’s and 1960’s a chromed turd would sell but that would change. A huge disruptive innovation was about to take place, and they chose to ignore it.
See after World War II Japan was destroyed. They were starting from scratch. By the 1960’s Japan’s industry was functioning again but they were thought of as the low cost low quality manufacturer of “cheap” things. Today in 2006 we often apply that label to Chinese products, remember that. China is now considered the same way that we once considered Japan. So how did Japan come from being the maker of cheap junk to being the recognized leader in hi-tech and hi-quality? It was through an attitude.
After being laughed at in the US, Deming went to Japan. The Japanese realized they needed something to help them, so they were open to change. That is the first most important element of innovation. All innovation starts and ends with people. Technology is a tool; innovation is the tool in action.
The Japanese took Deming’s statistical process control and turned it into a lifestyle. So in the 1980’s when I was implementing the first SPC system at a US auto plant, the Japanese had grown past it. They weren’t just 1 step ahead they were now 2 steps ahead and starting to capture the automotive market and building new markets they owned.
The Japanese accepted that they could do better. They used this new technique then they applied technology to maximize the effectiveness.
I’ve only scratched the surface of innovation. I’ll cover more about this in future articles. I’ll explore this more when I cover the following: Google, Copyrights, Democracy and Terrorism.
Action Items:
- Make a list of tasks you regularly perform.
- List 5 ways you can improve each of those tasks. Ex.: faster, cheaper, easier, more options, for more people.
- Estimate a value of having those improvements.
- Estimate the potential loss if your competitor made that improvement and you didn’t.
Request a FREE copy of What Makes an Innovation System Complete.